Handbook of Employee Selection by James L. Farr, Nancy T. Tippins

By James L. Farr, Nancy T. Tippins

The guide of worker Selection summarizes the kingdom of technological know-how and perform within the box of worker choice. Chapters during this publication conceal matters linked to size comparable to validity and reliability in addition to useful issues round the improvement of applicable choice techniques and implementation of choice courses. numerous chapters speak about the size of varied constructs generic as predictors, and different chapters confront criterion measures which are utilized in try validation. moral and felony issues are handled in one other set of chapters and spotlight the troubles of the enterprise in addition to the try taker and the psychologist liable for the trying out application. ultimate sections of the publication comprise chapters that concentrate on trying out for particular types of jobs (e.g., blue collar jobs, supervisory jobs) and describe vital milestones within the improvement of choice programs.

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Corrections for attenuation, construction of score bands). To the extent that such hypotheses are not supported, faulty conclusions regarding the reliability of scores may be drawn, inappropriate uses of the reliability information may occur, and knowledge regarding inconsistencies in our scores may be underutilized. 5 The measurement models underlying CTT and G-theory actually share some important similarities. For example, both (a) conceive of observed scores as being an additive function of true score and error components and (b) assume that true score and error components are uncorrelated.

Reliability and Validity 13 each replicate, characteristics of the construct one is attempting to measure, and characteristics of the sample of one’s study participants. Consistency and Inconsistency Lastly, the third key element of the operational definition of reliability is notion of consistency in scores arising from replicates. 4 Conversely then, anything that gives rise to consistency in a set of scores, whether it is the construct we intend to measure or some contaminate source of construct-irrelevant variation that is shared or consistent across replicates, serves to delineate the “true” portion of an observed score from the perspective of reliability.

Couple this trend with (a) the recognized decline in the graduate instruction of statistics and measurement over the past 30 years in psychology departments (Aiken, West, & Millsap, 2008; Merenda, 2007), as well as (b) the growing availability of statistical software and estimation methods since the mid-1980s and we have a situation where the psychometric knowledge base of new researchers and practitioners can be dated prior to exiting graduate training. Perhaps more disturbing is that the lack of dissemination of modern perspectives on reliability can easily give students of the field the impression that there have not been many scientifically or practically useful developments in the area of reliability since the early 1950s.

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